Classification Models to Predict Survival of Kidney Transplant Recipients Using Two Intelligent Techniques of Data Mining and Logistic Regression.

Nematollahi, M; Akbari, R; Nikeghbalian, S; Salehnasab, C

Nematollahi, M; Akbari, R; Nikeghbalian, S; Salehnasab, C.

Afiliación

Nematollahi M; Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Akbari R; School of Computer Engineering & IT, Shiraz University of Technology, Shiraz, Iran.
Nikeghbalian S; School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Salehnasab C; Shiraz University of Medical Sciences, Shiraz, Iran.

Int J Organ Transplant Med ; 8(2): 119-122, 2017.

Article en En | MEDLINE | ID: mdl-28959387

Palabras clave

Data mining; Kidney transplantation; Neural networks; Support vector machine; Survival

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Organ Transplant Med Año: 2017 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Irán

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google